There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.
In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...
Speechify's Voice AI Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI SIMBA 3.0 represents a major step forward in production voice AI. It is built voice-first for ...
Learn how to secure Model Context Protocol (MCP) deployments with post-quantum cryptography and agile policy enforcement for LLM tools.
Web scraping tools gather a website's pertinent information for you to peruse or download. Learn how to create your own web ...
Superconducting quantum design has called for specialised expertise working with mostly improvised design tools within a homegrown workflow ...
Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...
Vibe coding isn’t just prompting. Learn how to manage context windows, troubleshoot smarter, and build an AI Overview ...
Learn how to improve coding assignments with clear documentation, better structure, and professional formatting for higher grades and clarity.